Evidence map›Paper›PMID 24379583›Full record

ArticleWorld journal of gastroenterology2013

Assessment of the diagnostic performance and interobserver variability of endocytoscopy in Barrett's esophagus: a pilot ex-vivo study.

Yutaka Tomizawa, Prasad G Iyer, Louis M Wongkeesong, Navtej S Buttar, Lori S Lutzke, Tsung-Teh Wu, Kenneth K Wang

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in World journal of gastroenterology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Endoscopic imaging of Barrett's esophagus.World journal of gastrointestinal endoscopy · 2016
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Yutaka TomizawaYutaka Tomizawa, Prasad G Iyer, Louis M Wongkeesong, Navtej S Buttar, Lori S Lutzke, Kenneth K Wang, Barrett's Esophagus Unit, Division of Gastroenterology and Hepatology, Mayo Clinic Rochester, MN 55905, United States.
Prasad G IyerYutaka Tomizawa, Prasad G Iyer, Louis M Wongkeesong, Navtej S Buttar, Lori S Lutzke, Kenneth K Wang, Barrett's Esophagus Unit, Division of Gastroenterology and Hepatology, Mayo Clinic Rochester, MN 55905, United States.
Louis M WongkeesongYutaka Tomizawa, Prasad G Iyer, Louis M Wongkeesong, Navtej S Buttar, Lori S Lutzke, Kenneth K Wang, Barrett's Esophagus Unit, Division of Gastroenterology and Hepatology, Mayo Clinic Rochester, MN 55905, United States.
Navtej S ButtarYutaka Tomizawa, Prasad G Iyer, Louis M Wongkeesong, Navtej S Buttar, Lori S Lutzke, Kenneth K Wang, Barrett's Esophagus Unit, Division of Gastroenterology and Hepatology, Mayo Clinic Rochester, MN 55905, United States.
Lori S LutzkeYutaka Tomizawa, Prasad G Iyer, Louis M Wongkeesong, Navtej S Buttar, Lori S Lutzke, Kenneth K Wang, Barrett's Esophagus Unit, Division of Gastroenterology and Hepatology, Mayo Clinic Rochester, MN 55905, United States.
Tsung-Teh WuYutaka Tomizawa, Prasad G Iyer, Louis M Wongkeesong, Navtej S Buttar, Lori S Lutzke, Kenneth K Wang, Barrett's Esophagus Unit, Division of Gastroenterology and Hepatology, Mayo Clinic Rochester, MN 55905, United States.
Kenneth K WangYutaka Tomizawa, Prasad G Iyer, Louis M Wongkeesong, Navtej S Buttar, Lori S Lutzke, Kenneth K Wang, Barrett's Esophagus Unit, Division of Gastroenterology and Hepatology, Mayo Clinic Rochester, MN 55905, United States.
St. Luke's Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate a classification of endocytoscopy (ECS) images in Barrett's esophagus (BE) and evaluate its diagnostic performance and interobserver variability.

methodsECS was applied to surveillance endoscopic mucosal resection (EMR) specimens of BE ex-vivo. The mucosal surface of specimen was stained with 1% methylene blue and surveyed with a catheter-type endocytoscope. We selected still images that were most representative of the endoscopically suspect lesion and matched with the final histopathological diagnosis to accomplish accurate correlation. The diagnostic performance and inter-observer variability of the new classification scheme were assessed in a blinded fashion by physicians with expertise in both BE and ECS and inexperienced physicians with no prior exposure to ECS.

resultsThree staff physicians and 22 gastroenterology fellows classified eight randomly assigned unknown still ECS pictures (two images per each classification) into one of four histopathologic categories as follows: (1) BEC1-squamous epithelium; (2) BEC2-BE without dysplasia; (3) BEC3-BE with dysplasia; and (4) BEC4-esophageal adenocarcinoma (EAC) in BE. Accuracy of diagnosis in staff physicians and clinical fellows were, respectively, 100% and 99.4% for BEC1, 95.8% and 83.0% for BEC2, 91.7% and 83.0% for BEC3, and 95.8% and 98.3% for BEC4. Interobserver agreement of the faculty physicians and fellows in classifying each category were 0.932 and 0.897, respectively.

conclusionThis is the first study to investigate classification system of ECS in BE. This ex-vivo pilot study demonstrated acceptable diagnostic accuracy and excellent interobserver agreement.

Indexed as

AdenocarcinomaBarrett EsophagusClinical CompetenceEsophageal NeoplasmsEsophagoscopyEsophagusHumansImage EnhancementMucous MembraneObserver VariationPilot ProjectsPredictive Value of TestsReproducibility of ResultsStaining and LabelingVideo RecordingBarrett’s esophagusDysplasiaEndocytoscopyEsophageal adenocarcinomaInterobserver agreement

Identifiers

PMID24379583
PMCPMC3870511
OpenAlexW2116005012

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.